Compiler techniques for effective communication on distributed-memory multiprocessors

The Polaris restructurer transforms conventional Fortran programs into parallel form for various types of multiprocessor systems. This paper presents the results of a study on strategies to improve the effectiveness of Polaris' techniques for distributed-memory multiprocessors. Our study, which...

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Bibliographic Details
Main Authors: Navarro, A.G., Paek, Y., Zapata, E.L., Padua, D.
Format: Conference Proceeding
Language:English
Subjects:
Communication effectiveness
Computer architecture
Computer science
Data analysis
Distribution strategy
Parallel processing
Phase detection
Phased arrays
Polarization
Privatization
Online Access:Request full text
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Summary:The Polaris restructurer transforms conventional Fortran programs into parallel form for various types of multiprocessor systems. This paper presents the results of a study on strategies to improve the effectiveness of Polaris' techniques for distributed-memory multiprocessors. Our study, which is based on the hand analysis of MDG and TRFD from the Perfect Benchmarks and TOYCATV and SWIM from SPEC benchmarks, identified three techniques that are important for improving communication optimization. Their application produces almost perfect speedups for the four programs on the Cray T3D.
ISSN:0190-3918
2332-5690
DOI:10.1109/ICPP.1997.622559